A Deep Learning Automation Framework Library based on keras, sklearn for the automation of the machine learning and deeplearning algorithms training.testing,metrics,comparative analysis and visualisations
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Updated
Aug 31, 2018
A Deep Learning Automation Framework Library based on keras, sklearn for the automation of the machine learning and deeplearning algorithms training.testing,metrics,comparative analysis and visualisations
Packages and scripts developed during my research internship at CA
Package: R Interface to AutoKeras
ruTorrent plugin for autodl-community fork of autodl-irssi
An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras
Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.
Automated deep learning algorithms implemented in PyTorch.
An up-to-date list of progress made in neural architecture search
collecting related resources of automated machine learning here
The MLOps platform for innovators 🚀
Auto-DL helps you make Deep Learning models without writing a single line of code and giving as little input as possible.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL
Auto-DL helps you make Deep Learning models without writing a single line of code and giving as little input as possible.
Building Layer Recommendation System for Auto-DL's Core repository
Reproduce alpaca
Python library and dashboard for hyperparameter search and model training for computer vision tasks based on PyTorch, Optuna, FiftyOne, Dash, Segmentation Model Pytorch.
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